Latest Draft 2012-01-01
First Draft 2011-12-04
This document defines an algorithm for encoding short sequences of arbitrary text as quasi-musical audio data.
The input will be a Unicode text string, the output a signal expressed as an array of numeric values.
The algorithm was developed as part of the Web Beep service and is provided here to facilitate development of, and interoperability with, related services and applications.
An open source Reference Implementation is available and relevant sections of its documentation are linked from here with links labeled [RI].
The keywords “MUST”, “MUST NOT”, “REQUIRED”, “SHALL”, “SHALL NOT”, “RECOMMENDED”, “MAY” and “OPTIONAL” in this document are to be interpreted as described in RFC2119.
Everything in this specification is normative unless otherwise stated.
The algorithm has three distinct stages:
Informative
The input of the Web Beep algorithm is a Unicode text string. Preprocessing of that string involves converting it to an ASCII representation and generating and prepending a checksum character. The string resulting from this preprocessing is passed to the next stage, Character Mapping.
The Unicode characters in the source string are initially encoded in ASCII using the full (no-flags) algorithm as described in java.net.IDN.toASCII, summarised as follows :
Internationalized domain names are defined in RFC 3490. RFC 3490 defines two operations: ToASCII and ToUnicode. These 2 operations employ Nameprep algorithm, which is a profile of Stringprep, and Punycode algorithm to convert domain name string back and forth....
A label is an individual part of a domain name. The original ToASCII operation, as defined in RFC 3490, only operates on a single label. This method can handle both label and entire domain name, by assuming that labels in a domain name are always separated by dots. The following characters are recognized as dots: \u002E (full stop), \u3002 (ideographic full stop), \uFF0E (fullwidth full stop), and \uFF61 (halfwidth ideographic full stop). if dots are used as label separators, this method also changes all of them to \u002E (full stop) in output translated string.
The clauses above (and RFC 3490) are used normatively in Web Beep, with the exception that the Unicode input string is subject to the following condition:
Where encoding of a sequence longer than 63 characters is required, it is RECOMMENDED that it is created from a sequence of shorter sequences as defined here, although no algorithm is provided here for such multiple encodings.
The checksum character to prepend to the ASCII representation is determined as followed:
Informative
If the ASCII input string is "abc" :
So the resultant string with checksum is "&abc".
See Also
The Character Mapping stage of the algorithm takes the string produced by Text Preprocessing and for each character in turn looks up entries in the mapping tables which will determine the required tones.
The numeric value of each 7-bit ASCII character is split into two values corresponding to the most significant 3 bits and lower 4 bits.
These values are used as indexes in the tables below to yield two frequency values each with a corresponding "Beats" value which give the duration of the tone (in duration units, multiples of 48.6111... milliseconds).
The mapping tables are as follows :
Most Significant Bits
| Index | Note | Freq | Beats |
|---|---|---|---|
| 0 | C | 261.63 | 1 |
| 1 | D | 293.66 | 1 |
| 2 | E | 329.63 | 1 |
| 3 | G | 392 | 1 |
| 4 | A | 440 | 1 |
| 5 | C | 261.63 | 2 |
| 6 | D | 293.66 | 2 |
| 7 | G | 392 | 2 |
| Index | Note | Freq | Beats |
|---|---|---|---|
| 0 | c | 523.25 | 1 |
| 1 | d | 587.33 | 1 |
| 2 | e | 659.26 | 1 |
| 3 | g | 783.99 | 1 |
| 4 | a | 880 | 1 |
| 5 | c | 523.25 | 2 |
| 6 | d | 587.33 | 2 |
| 7 | e | 659.26 | 2 |
| 8 | g | 783.99 | 2 |
| 9 | a | 880 | 2 |
| 10 | c' | 1046.5 | 1 |
| 11 | d' | 1174.66 | 1 |
| 12 | e' | 1318.51 | 1 |
| 13 | g' | 1567.98 | 1 |
| 14 | a' | 1760 | 1 |
| 15 | g' | 1567.98 | 2 |
The frequency values are given here with an accuracy of two decimal places. No specific accuracy is REQUIRED, though implementations SHOULD use an appropriate approximation of values from the Western equally tempered scale with A = 440Hz.
The "Note"columns are informative, the ABC notation for the note corresponding to the frequency
Informative : the frequencies occur in a "black key" pentatonic scale, concert pitch
The results of these mappings will be the tuples:
are passed on to 3.3 Tone Generation
Informative
Starting from the previous example, the input to this stage will be "&abc". Looking these characters up in the tables yields the following:
& ASCII hex 26
Low index=2, beats=1, freq=329.63
High index=6, beats=2, freq=587.33
a ASCII hex 61
Low index=6, beats=2, freq=293.66
High index=1, beats=1, freq=587.33
b ASCII hex 62
Low index=6, beats=2, freq=293.66
High index=2, beats=1, freq=659.26
c ASCII hex 63
Low index=6, beats=2, freq=293.66
High index=3, beats=1, freq=783.99
Hence the values passed forward will be the sequence :
The values found via 3.2 Character Mapping will be used to set parameters in the Tone Generation stage of the algorithm.
The duration of individual tones SHOULD be
toneDuration
= 48.6111... ( = 140
/ (60 * 48)) milliseconds.
Informative : listening tests suggested an approximate value for this, the exact value chosen so Beeps could be in sync with music at 140bpm in 3/4 or 4/4 time.
for each set of values noteLow =
(frequencyL, beatsL), noteHigh = (frequencyH,
beatsH)
generate waveforms:
and if beatsL = 1, pad with silence (zero values) for toneDuration
and if beatsH = 1, pad with silence (zero values) for toneDuration
then sample-wise sum (mix) the two waveforms
append result to waveform
The waveform SHOULD then be padded by silence at least of toneDuration at the start and end.
The numeric data resulting from the operations above will typically be rendered in an audio binary format and subsequently rendered through a media player. The choice of audio format is left to the implementor (the Reference Implementation internally generates .wav 16 bit PCM format mono, 22.05kHz, which is converted to mp3 externally using LAME see Constants.java, ToMP3.java and WavCodec.java)
This section is informative.
// TODO, see How It Works of Web Beep
A reference implementation of this algorithm is available as part of the Web Beep application : source repository (also includes this documentation).
There may be a need for Web Beep signals to contain an identifying block or "Ident". In a particularly noisy environment, the robustness of Web Beep communications could be significantly improved by the use of an marker signal to indicate the start of a transmission. Additionally, in broadcast communications it's often desirable for the originator of the message to identify themselves, for example radio station Channel Ids or WiFi SSIDs. Neither of these scenarios are covered by Web Beep at present, however both are potentially supported by using the current algorithm over multiple messages. For example, a marker and/or broadcaster ID could be formed by sending a short string (e.g. "WB") a fixed time before the message proper.


Guillaume Moreau
IMT Atlantique, Lab-STICC lab and INRIA Hybrid team.
Office C02-211a
Technopole Brest-Iroise
Brest, France
I am professor in Computer Science at IMT Atlantique, Brest campus, in France. My research interests are Virtual and Augmented Reality, within the Lab-STICC lab. I am also member of the INRIA Hybrid team. I am currently Deputy Dean for Research and Innovation at IMT Atlantique.
Before this, I obtained an engineering degree in Computer Science in 1995 from ENSIEE. As a civil servant from ENS Rennes I did my PhD studies at IRISA lab where I graduated in 1998. After my industrial postdoc in the same team, I obtained a position at Mines Paris (1999-2002). Eventually I moved to Centrale Nantes as an Associate Professor in 2002. I became full professor in 2011 after obtaining my HDR in 2009. In 2020, I was hired by IMT Atlantique.
From 2006 to 2012, I served as the CIO (Chief Information Officer) of Centrale Nantes. Then I became the head of the Computer Science and Mathematics Department until 2016 when I was appointed as the Dean of Studies, position I have occupied until the end of 2019.
news
| Jan 28, 2023 | Martin GUY's PhD defense |
| Dec 3, 2022 | Best paper award at ICAT-EGVE for Martin Guy |
| Dec 1, 2022 | Job! Offre de thèse en réalité augmentée au service des patients Alzheimer |
| Nov 14, 2021 | Invité de la méthode scientifique sur France Culture |
| Sep 21, 2021 | Job! Offre de thèse CIFRE avec CLARTE |


This is a tool for error checking WFTDA StatsBooks. It is not in any way official or endorsed by the Women's Flat Track Derby Association.
Note: This tool assumes you are using the manual from the same year as the statsbook file version. So if you feed it a 2018 statsbook, it will check for '/' and 'X' in the lineups, and if you are using a 2019 file, it will check for '-' and '+'


First, the basics.
Headings set your default page size
Add your four mochi images from your tutorial here.
Let's make an unordered list.
Add an unordered list element
nest each item inside the unordered list in a list tag
List elements can be in any order
And now, one in order.
Add an ordered list element.
Add your top five music albums in order to the list.
Check it out, numbers by default.
Sometimes you want to draw attention to something in a line of text.
Sometimes you want to strongly emphasize something in the text.
Sometimes you want to do both.
Soft line breaks can't wrap anything. Neither can image tags, or hard lines.
Add a hard line under here.
This page probably doesn't look great - we'll learn how to hook it to CSS next week.


Galaano Suleiman, welcome to my life
Hi my name isGalaano suleiman, I am new student at Moringa Prep learning how to code and eventually be a software developer.
I am from Syokimau but originally from Sololo which is in Marsabit county.
I am a borana and from a family of 5 where am the firstborn.
I studied first in Kapsabet highlands followed by Nairobi muslim. I then proceeded to Maasai girls highschool
where i completed my secondary education.
my Hobbies are writting poems and drawing also i love trying new stuff like what am doing right now (coding)
At Moringa school i have done projects in :
- My first website
In this project i used mostly html and css languages where i initialized git as a version controller
- My pet
Here, I also used html and added a picture. Styled it with css and initialized git as a version controller
- Sololo resort
In this project, git was the version controller where i used css and html.


Tutorial
¶
Why GeoWombat?
Why not Rasterio?
Why not Xarray?
Related projects
Opening rasters
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Opening multiple bands as a stack
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Editing rasters
Setting ‘no data’ values
Setting ‘no data’ values with scaling
Replace values
Configuration manager
What is a context manager?
What is the purpose of GeoWombat’s context manager?
How do I use it?
Reference settings: CRS
Reference settings: Cell size
Reference settings: Bounds
Reference settings: Image
Reference settings: Sensors
GeoWombat DataArray accessor
DataArray GeoWombat attributes
Coordinate Reference Systems
Transforming a CRS on-the-fly
Resampling the cell size
Plotting raster data
Plot the entire array
Plot the intersection of two arrays
Plot the union of two arrays
Mosaic by the union of images
Navigation
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Knowledge Bases¶
- Comprior queries a knowledge base to retrieve relevant genes, gene association scores, or pathway information, which is then integrated into a prior knowledge feature selection approach
- for the search, Comprior uses a) the class labels and b) alternative search terms that are provided in the config file (see alternative search terms parameter in configuration specification)
DisGeNET¶
- aggregates biological information from multiple sources (meta knowledge base, see sources description for original sources)
- provides gene-disease, variant-disease, and variant-gene association scores for genes, disease, and variants (no pathway information) –> used for retrieving relevant genes and gene association scores
- users can choose in the config whether to use DisGeNET’s gene-disease association (GDA) score, disease pleiotropy index, or disease specificity index (see their description for more information)
- DisGeNET uses UMLS identifiers for the search, so Comprior internally first maps the search terms to their corresponding UMLS CUI (via the UMLS terminology web service) and forwards these to DisGeNET
OpenTargets¶
- provides biological information from multiple sources (meta knowledge base, see their documentation for original sources)
- provides association gene-disease association scores (no pathway information) –> used for retrieving relevant genes and gene association scores
KEGG¶
- provides manually curated pathway information –> used for retrieving relevant genes, gene association scores, and pathway information
- pathways are parsed into pypath.Network format
Retrieving Relevant Genes from Pathway Information¶
- Comprior retrieves relevant genes from a set of pathways by selecting all their member genes and removing duplications
Gene Association Score Computation from Network Information¶
- Comprior computes a gene association score \(s_i\) for a gene \(i\) from the sum of its degree percentile rank \(pr_{n,i}\) (= pathway genes are ranked by their number of in- and outgoing edges) for every pathway \(n\), normalized by \(P_i\) (=the overall number of pathways containing gene \(i\)): \(\frac{\sum_{n=1}^{|P_i|} pr_{n,i} if i \in p_n}{|P_i|}\)
- this way, hub genes with a lot of interactions receive a higher score than genes at the outside rim of a pathway, becoming even more important if they have many interactions across multiple pathways
PathwayCommons¶
- provides pathway information from multiple sources (meta knowledge base, see their sources for original sources)
- relevant genes and gene association scores are currently retrieved the same way as KEGG
- pathways are parsed into pypath.Network format


Welcome {{username}}
Here you can make all settings and look at your profile and stuff
| Name | All-Time Guessed Words |
|---|---|
| {{friend.name}} | {{friend.highscore}} |
| Start | End | Guessed Words |
|---|---|---|
| {{battle.start | date:'dd.MM HH:mm'}} | {{battle.end | date:'dd.MM HH:mm'}} | {{battle.score}} |
| ColorPack | Price | |
|---|---|---|
| {{color.name}} | {{color.price | currency:'EUR':1}} |


My goal is to create a Professional and a modern WordPress or any kind web. Moreover, I can develop Creative WordPress website & fully responsive WordPress design for your business.
I will design high quality and very Professional Web Design and fully Responsive Website Design focused on your specific business needs, which are of the highest quality at affordable prices.
If you are having any problem with your current web hosting and want to move to another hosting provider, or you just want me to make a clone of your website for testing then don't you worry at all.
I would take care of all your On Page SEO & Technical SEO to Top Rank your website for your targeted keywords on Google.
I can help you with any kind of HTML, CSS, Bootstrap, PHP, MySql and JavaScript projects. Yes, I'll do all web-related work i.e. complete custom websites from scratch, fixing bugs, customization.
The novel coronavirus disease Covid-19 that originated from China, has been spreading at exponential rate all around the world. There are limited number of Covid-19 test kits available in hospitals due to the mounting cases daily. Therefore, it is need of the hour to implement an automatic detection system as a quick alternative diagnosis option to prevent Covid-19 spreading among people. The goal of the proposed project called “Detection of Covid-19 Using X-Ray Images” is to develop an automatic detection system to detect covid-19.In this software, we intend to use the chest x-ray for the detection of coronavirus infected patients in an automated manner. This system will be helpful to hospital doctors for early identifying patients with high likelihood of Coronavirus.
An adaptable and responsible software developer having experience of more than 3 years in HTML, CSS, JAVASCRIPT, PHP, MYSQL, JQUERY, AJAX, WORDPRESS, BOOTSTRAP and CORE PHP. Word-Press Development and Designing. My goal is to create a Professional and a modern WordPress or any kind web. Moreover, I can develop Creative WordPress website & fully responsive WordPress design for your business.
Download Resume


Restore the Fourth is a grassroots effort to raise awareness about mass surveillance by governments, and to combat this violation of privacy through encryption, local and federal political action, and other necessary methods. This website serves Restore the Fourth activists in the Bay Area.
This is a global effort, and it is non-partisan. We don’t think this is an issue that should be limited to the activist community either. Every demographic is outraged by this flagrant disregard for the rule of law. We’ve spent the summer raising awareness, now we’re going to change the status quo. That means telling our representatives that we care. Supporting bills in congress. Teaching our representatives about technology so they can understand what they are voting for. Passing non-binding resolutions on the local level against government surveillance. And doing our best to protect individuals by teaching encryption techniques that are accessible to anyone.
As an organization we are governed by the three principles:
- The issue is the violation of the Fourth Amendment
- Partisan issues should be left out, as well as partisan rhetoric
- No violence in any RT4 action.
This part of RT4 is also governed by one principle: no civil disobedience.
Events so far:
We’ve hosted two large events – the July 4th rally, and the August 4th “1984 Day” speeches and march. These were two very different events aimed to introduce people to the issue and raise awareness. We delivered our notes from 1984 Day and met with Nancy Pelosi’s local chief of staff with a coalition of other groups later in August.
Our strategy:
- Planning is done via the Facebook group https://www.facebook.com/groups/RestoretheFourthSF/ and the subreddit http://www.reddit.com/r/restorethefourthSF/ which allow anyone to post. We host monthly open strategy meetings for all Bay Area residents. This is the only place to introduce entirely new projects that require a vote. Please visit the events page to find the next meeting.
- Bay Area Local RT4s you can organize actions that are more specific to your local politics, for instance outreach to your own congressman or getting city council resolutions passed. We want to provide support on how that is done. Please sign up for a specific geographical area using our mailing list form http://restorethefourthsf.com/mailinglist/ Please don’t sign up this way if you’re not ok with sharing your email address with other RT4 activists in your community.
- Encryption The most effective way to prevent the government from viewing your online communications is to encrypt them. There are fast and easy ways to start using encrypted text messaging, instant messaging and email. Currently Sudoroom is hosting cryptoparties on the second Sunday of each month in Oakland. We are planning cryptoparties in San Francisco. Meshnets can be used to create internet networks which are completely protected by encryption. Alcides has started the San Francisco-based Meshnet, he can be reached via e64.us/home/contact. He’s currently testing his meshlocal and looking for volunteers. Sudoroom is starting the Oakland meshnet and eventually they will be joined.


Class OESPackedDepthStencil
- java.lang.Object
-
- org.lwjgl.opengles.OESPackedDepthStencil
-
public final class OESPackedDepthStencil extends java.lang.Object
Native bindings to the OES_packed_depth_stencil extension.Many OpenGL implementations have chosen to interleave the depth and stencil buffers into one buffer, often with 24 bits of depth precision and 8 bits of stencil data. 32 bits is more than is needed for the depth buffer much of the time; a 24-bit depth buffer, on the other hand, requires that reads and writes of depth data be unaligned with respect to power-of-two boundaries. On the other hand, 8 bits of stencil data is more than sufficient for most applications, so it is only natural to pack the two buffers into a single buffer with both depth and stencil data. OpenGL never provides direct access to the buffers, so the OpenGL implementation can provide an interface to applications where it appears the one merged buffer is composed of two logical buffers.
One disadvantage of this scheme is that OpenGL lacks any means by which this packed data can be handled efficiently. For example, when an application reads from the 24-bit depth buffer, using the type GL_UNSIGNED_SHORT will lose 8 bits of data, while GL_UNSIGNED_INT has 8 too many. Both require expensive format conversion operations. A 24-bit format would be no more suitable, because it would also suffer from the unaligned memory accesses that made the standalone 24-bit depth buffer an unattractive proposition in the first place.
If OES_depth_texture is supported, a new data format, GL_DEPTH_STENCIL_OES, as well as a packed data type, UNSIGNED_INT_24_8_OES, together can be used with glTex[Sub]Image2D. This provides an efficient way to supply data for a 24-bit depth texture. When a texture with DEPTH_STENCIL_OES data is bound for texturing, only the depth component is accessible through the texture fetcher.
This extension also provides a new sized internal format, DEPTH24_STENCIL8_OES, which can be used for renderbuffer storage. When a renderbuffer or texture image with a DEPTH_STENCIL_OES base internal format is attached to both the depth and stencil attachment points of a framebuffer object, then it becomes both the depth and stencil buffers of the framebuffer. This fits nicely with hardware that interleaves both depth and stencil data into a single buffer.
-
-
Field Summary
Fields Modifier and Type Field and Description static int
GL_DEPTH_STENCIL_OES
Accepted by theformat
parameter of TexImage2D and TexSubImage2D and by theinternalformat
parameter of TexImage2D.static int
GL_DEPTH24_STENCIL8_OES
Accepted by theinternalformat
parameter of RenderbufferStorage, and returned in theparams
parameter of GetRenderbufferParameteriv whenpname
is RENDERBUFFER_INTERNAL_FORMAT.static int
GL_UNSIGNED_INT_24_8_OES
Accepted by thetype
parameter of TexImage2D and TexSubImage2D.
-
-
-
Field Detail
-
GL_DEPTH_STENCIL_OES
public static final int GL_DEPTH_STENCIL_OES
Accepted by theformat
parameter of TexImage2D and TexSubImage2D and by theinternalformat
parameter of TexImage2D.- See Also:
- Constant Field Values
-
GL_UNSIGNED_INT_24_8_OES
public static final int GL_UNSIGNED_INT_24_8_OES
Accepted by thetype
parameter of TexImage2D and TexSubImage2D.- See Also:
- Constant Field Values
-
GL_DEPTH24_STENCIL8_OES
public static final int GL_DEPTH24_STENCIL8_OES
Accepted by theinternalformat
parameter of RenderbufferStorage, and returned in theparams
parameter of GetRenderbufferParameteriv whenpname
is RENDERBUFFER_INTERNAL_FORMAT.- See Also:
- Constant Field Values
-
-


Class LinkSession
Abstract base class for concrete link sessions.
Inheritance
System.Object
LinkSession
Implements
System.IDisposable
Inherited Members
System.Object.Equals(System.Object)
System.Object.Equals(System.Object, System.Object)
System.Object.GetHashCode()
System.Object.GetType()
System.Object.MemberwiseClone()
System.Object.ReferenceEquals(System.Object, System.Object)
System.Object.ToString()
Namespace: x2net
Assembly: x2net.dll
Syntax
public abstract class LinkSession : IDisposable
Constructors
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LinkSession(SessionBasedLink)
Initializes a new instance of the LinkSession class.
Declaration
protected LinkSession(SessionBasedLink link)
Parameters
Fields
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ChannelStrategy
Declaration
public volatile ChannelStrategy.SubStrategy ChannelStrategy
Field Value
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connected
Declaration
protected volatile bool connected
Field Value
| Type |
Description |
| System.Boolean |
|
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disposed
Declaration
protected volatile bool disposed
Field Value
| Type |
Description |
| System.Boolean |
|
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eventsSending
Declaration
protected List<Event> eventsSending
Field Value
| Type |
Description |
| System.Collections.Generic.List<Event> |
|
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eventsToSend
Declaration
protected List<Event> eventsToSend
Field Value
| Type |
Description |
| System.Collections.Generic.List<Event> |
|
|
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handle
Declaration
Field Value
| Type |
Description |
| System.Int32 |
|
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HeartbeatStrategy
Declaration
public volatile HeartbeatStrategy.SubStrategy HeartbeatStrategy
Field Value
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lengthToReceive
Declaration
protected int lengthToReceive
Field Value
| Type |
Description |
| System.Int32 |
|
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lengthToSend
Declaration
protected int lengthToSend
Field Value
| Type |
Description |
| System.Int32 |
|
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link
Declaration
protected SessionBasedLink link
Field Value
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polarity
Declaration
Field Value
| Type |
Description |
| System.Boolean |
|
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rxBeginning
Declaration
protected bool rxBeginning
Field Value
| Type |
Description |
| System.Boolean |
|
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rxBuffer
Declaration
protected Buffer rxBuffer
Field Value
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rxBufferList
Declaration
protected List<ArraySegment<byte>> rxBufferList
Field Value
| Type |
Description |
| System.Collections.Generic.List<System.ArraySegment<System.Byte>> |
|
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Declaration
protected bool rxTransformed
Field Value
| Type |
Description |
| System.Boolean |
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syncRoot
Declaration
protected object syncRoot
Field Value
| Type |
Description |
| System.Object |
|
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txBufferList
Declaration
protected List<ArraySegment<byte>> txBufferList
Field Value
| Type |
Description |
| System.Collections.Generic.List<System.ArraySegment<System.Byte>> |
|
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txBuffers
Declaration
protected List<SendBuffer> txBuffers
Field Value
| Type |
Description |
| System.Collections.Generic.List<SendBuffer> |
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txFlag
Declaration
Field Value
| Type |
Description |
| System.Boolean |
|
Properties
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Connected
Gets or sets whether this link session is in connected state or not.
Declaration
public bool Connected { get; set; }
Property Value
| Type |
Description |
| System.Boolean |
|
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Context
Gets or sets the context object associated with this link session.
Declaration
public object Context { get; set; }
Property Value
| Type |
Description |
| System.Object |
|
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Diag
Gets or sets the diagnostics object.
Declaration
public LinkSession.Diagnostics Diag { get; set; }
Property Value
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Handle
Gets or sets the link session handle that is unique in the current
process.
Declaration
public int Handle { get; set; }
Property Value
| Type |
Description |
| System.Int32 |
|
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HasChannelStrategy
Declaration
public bool HasChannelStrategy { get; }
Property Value
| Type |
Description |
| System.Boolean |
|
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HasHeartbeatStrategy
Declaration
public bool HasHeartbeatStrategy { get; }
Property Value
| Type |
Description |
| System.Boolean |
|
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InternalHandle
Declaration
protected virtual int InternalHandle { get; }
Property Value
| Type |
Description |
| System.Int32 |
|
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IsBusy
Declaration
public bool IsBusy { get; }
Property Value
| Type |
Description |
| System.Boolean |
|
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Link
Gets the link associated with this session.
Declaration
public SessionBasedLink Link { get; }
Property Value
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Polarity
Gets or sets a boolean value indicating whether this session is an
active (client) session. A passive (server) session will return false.
Declaration
public bool Polarity { get; set; }
Property Value
| Type |
Description |
| System.Boolean |
|
Methods
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Declaration
protected abstract void BuildHeader(SendBuffer sendBuffer, bool transformed)
Parameters
| Type |
Name |
Description |
| SendBuffer |
sendBuffer |
|
| System.Boolean |
transformed |
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Close()
Actively closes this link session and releases all the associated
resources.
Declaration
public virtual void Close()
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CloseInternal()
Declaration
public void CloseInternal()
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Dispose()
Implements IDisposable interface.
Declaration
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Dispose(Boolean)
Frees managed or unmanaged resources.
Declaration
protected virtual void Dispose(bool disposing)
Parameters
| Type |
Name |
Description |
| System.Boolean |
disposing |
|
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Finalize()
Declaration
protected void Finalize()
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OnClose()
Declaration
protected abstract void OnClose()
|
Improve this Doc
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OnDisconnect(Object)
Declaration
protected void OnDisconnect(object context)
Parameters
| Type |
Name |
Description |
| System.Object |
context |
|
|
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OnEventReceived(Event)
Declaration
protected virtual void OnEventReceived(Event e)
Parameters
| Type |
Name |
Description |
| Event |
e |
|
|
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OnEventSent(Event)
Declaration
protected virtual void OnEventSent(Event e)
Parameters
| Type |
Name |
Description |
| Event |
e |
|
|
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OnReceiveInternal(Int32)
Declaration
protected void OnReceiveInternal(int bytesTransferred)
Parameters
| Type |
Name |
Description |
| System.Int32 |
bytesTransferred |
|
|
Improve this Doc
View Source
OnSendInternal(Int32)
Declaration
protected void OnSendInternal(int bytesTransferred)
Parameters
| Type |
Name |
Description |
| System.Int32 |
bytesTransferred |
|
|
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Declaration
protected abstract bool ParseHeader()
Returns
| Type |
Description |
| System.Boolean |
|
|
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Process(Event)
Declaration
protected virtual bool Process(Event e)
Parameters
| Type |
Name |
Description |
| Event |
e |
|
Returns
| Type |
Description |
| System.Boolean |
|
|
Improve this Doc
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ReceiveInternal()
Declaration
protected abstract void ReceiveInternal()
|
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Send(Event)
Sends out the specified event through this link session.
Declaration
public void Send(Event e)
Parameters
| Type |
Name |
Description |
| Event |
e |
|
|
Improve this Doc
View Source
SendInternal()
Declaration
protected abstract void SendInternal()
Implements
System.IDisposable
Extension Methods


Do the caster levels you get every 2 levels of Pale Master also count for the level of your Familiar? For example, if I had a 10 Wizard / 10 PM character, would my familiar be level 10 or level 15? _________________ "Destiny, chance, fate, fortune, they're all just ways of claiming your successes without admitting your defeats." --Gerrard of the Weatherlight
They don't - Wizard 10/PM 10 has level 10 familiar. He also casts spells as if he was level 10, so for example IGMS will shoot only 10 missiles. I think those things are changed in PRC and some PM haks, but not completely sure.
The caster level is fixed in PRC, but familiar level will still be only tied to your main casting lass per pnp rules there. _________________ Come visit the Epic Builders Guild for all the character info you could ever want or need: Click Here
Will the caster level be fixed in future Bioware updates too? Because the server where I play a Pale Master doesn't have PRC installed, and since I'm going for 30 Pale Master, my spells would kinda suck... _________________ "Destiny, chance, fate, fortune, they're all just ways of claiming your successes without admitting your defeats." --Gerrard of the Weatherlight


public abstract class LoadState extends GameState
LoadState
, the first argument must be the
ID or the actual instance of the state that is being loaded. All arguments
after that will be sent to the onEnterState()
method of the
state once loading is finished.| Modifier and Type | Field and Description |
|---|---|
private boolean |
hasRendered |
private int |
loadedResourceCount |
private LoadTask |
loadTask |
private int |
resourceIndex |
private java.lang.Object[] |
stateArgs |
private int |
stateId |
private int |
stateIndex |
private java.util.LinkedHashMap<GameState,java.util.ArrayList<java.lang.Object>> |
states |
private java.lang.String |
task |
private int |
totalResourceCount |
| Constructor and Description |
|---|
LoadState() |
| Modifier and Type | Method and Description |
|---|---|
protected void |
finishLoading(Game game)
Finishes loading.
|
float |
getProgress() |
java.lang.String |
getTask() |
protected boolean |
isReady() |
void |
onEnterState(Game game,
java.lang.Object... args)
Called when the state has been entered.
|
void |
onInit(Game game,
java.lang.Object... args)
Called when the state is initialized.
|
void |
onLeaveState(Game game)
Called when the state is left.
|
void |
onRender(Game game)
Called when the state is rendered.
|
void |
onUpdate(Game game,
long delta)
Called when the state is updated.
|
protected void |
setTask(java.lang.String task)
Sets the current task.
|
getGame, getId, getResources, init, onLoadableResourceFinish, toString
private int stateId
private java.lang.Object[] stateArgs
private java.util.LinkedHashMap<GameState,java.util.ArrayList<java.lang.Object>> states
private boolean hasRendered
private java.lang.String task
private LoadTask loadTask
private int totalResourceCount
private int loadedResourceCount
private int stateIndex
private int resourceIndex
public java.lang.String getTask()
protected void setTask(java.lang.String task)
task
- the task.public float getProgress()
protected boolean isReady()
true
if the loading is done, false
otherwise.protected void finishLoading(Game game)
game
- the game to enter the state to.public void onInit(Game game, java.lang.Object... args) throws java.io.IOException
GameState
public void onEnterState(Game game, java.lang.Object... args)
GameState
onEnterState
in class GameState
game
- the game the state belongs to.args
- arguments for entering the state.public void onLeaveState(Game game)
GameState
onLeaveState
in class GameState
game
- the game the state belongs to.public void onUpdate(Game game, long delta)
GameState


% if (props.fontAwesome) { %> <% } %><% if (props.foundationVersion === 'Foundation 5') { %> <% } %>
Improve your workflow by harnessing the power of Browserify with your Foundation projects!
If you're not sure why you should be using this generator, or aren't familiar with some of the tools it offers, check out the Generator Overview.


{% extends "visualization/base.html" %}
{% comment "BSD notice" %}
Copyright (c) 2015, Jesper Derehag for Ericsson AB
All rights reserved.
Redistribution and use in source and binary forms, with or without modification,
are permitted provided that the following conditions are met:
1. Redistributions of source code must retain the above copyright notice, this list of conditions
and the following disclaimer.
2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following
disclaimer in the documentation and/or other materials provided with the distribution.

************************** THIS LINE IS 120 CHARACTERS WIDE - DO *NOT* EXCEED 120 CHARACTERS! *******************
{% endcomment %}
{% load static %}
{% block title %}
Charts
{% endblock title %}
{% block specific_static_files %}
{% endblock specific_static_files %}
{% block content %}


Skip to main content
Skip to local navigation
Skip to EBI global navigation menu
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Gene Ontology and GO Annotations
Help
Contact
API


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jChart 2.0
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Version Control
Track Changes with Git and GitHub
8/22/15
What are the benefits of version control?
Version control allows developers to make changes without risking harm or damage to the master, or the ideal, version. By working on copies of a master version, developers are freed from having to recreate the whole work, and instead can develop sections of the work. It’s a good way to test out and experiment different methods without risking the integrity of the master or introducing errors. It also allows for multiple developers to work on a project at the same time.
How does git help you keep track of changes?
Git is a program that helps developers to keep track of changes, which is a key feature of version control. Developers create branches, or copies, of the master, which they use to make changes. By using copies, changes can be compared to the original, and they are recorded in a log, which shows the history of how a project has changed and evolved.
Why use GitHub to store your code?
GitHub is a repository for open source codes, which means that developers share their codes with other developers and the public. Having codes be open source is a way to not only share codes, but also allows for them to evolve and develop as other use and change them. And, because credit is given to the developer who writes the original code and to those who contribute to its development, it maintains copyright conventions.


The Red Team Village will be at the Flamingo - Twilight Ball Room
RED TEAM VILLAGE
DISCORD
TWITTER
YOUTUBE
SPONSORS
SCHEDULE
2023 RTV STORE
The CTF will be at the Contest Area at Caesar's Forum
(c)2023, Red Team Village


It's fascinating to solve algothmic problems, follow Yanzhan to learn more!
Disclaimer: this solution is quoted from Rosetta Code, for more solutions and code snippets, please visit Rosetta Code Website : [http://rosettacode.org/wiki/Rosetta_Code] . Thanks for the great work done by Rosetta maintainers and contributors, I could make video tutorials for Rosetta.
video tutorial:
solution:
sub odd-abundant (\x) {
my @l = x.is-prime ?? 1 !! flat
1, (3 .. x.sqrt.floor).map: -> \d {
next unless d +& 1;
my \y = x div d;
next if y * d !== x;
d !== y ?? (d, y) !! d
};
@l.sum > x ?? @l.sort !! Empty;
}
sub odd-abundants (Int :$start-at is copy) {
$start-at = ( $start-at + 2 ) div 3;
$start-at += $start-at %% 2;
$start-at *= 3;
($start-at, *+6 ... *).hyper.map: {
next unless my $oa = .&odd-abundant;
sprintf "%6d: divisor sum: {$oa.join: ' + '} = {$oa.sum}", $_
}
}
put 'First 25 abundant odd numbers:';
.put for odd-abundants( :start-at(1) )[^25];
put "\nOne thousandth abundant odd number:\n" ~ odd-abundants( :start-at(1) )[999] ~
"\n\nFirst abundant odd number above one billion:\n" ~ odd-abundants( :start-at(1_000_000_000) ).head;


[§425-1.8] Execution of statements. Each statement or document required by this chapter to be filed with the director of commerce and consumer affairs shall be signed and certified by at least one partner. [L 2002, c 130, pt of §5]


This application allows you to browse upcoming shows at the vancouver fringe in a table. It is intended to help you find shows to see. Shows that occur after this year's fringe or before the current date are not displayed.
The app has several features. You can sort by columns by clicking the header. You can sort by multiple columns with the SHIFT key. You can search for events. You can hide and show columns. You can select rows by clicking and with SHIFT and COMMNAD/CTRL.You can export your current table to PDF or Excel format.


Codeigniter - Expense Management
It provides the ability to group your income/expenses into categories and lets you set a budget and track expenses in the category.
A simple but powerful PHP script to manage your expenses with multi-user level and permission. Our expense management system designed to help individual or business budget, track and possibly control your expenses. It supports tracking of both your expenses and income. This expense management system provides an integrated set of features to help you to manage your expenses and cash flow. It provides the ability to group your income/expenses into categories and lets you set a budget and track expenses in the category.
-
Manage Expense
-
Manage Income
-
Manage Expense Category
-
Manage Income Category
-
Filter by date range
- Sorting & Pagination
- Support Multi-user level to Manage the system
- User Login & Management Included
- Set different permission for different user type
- Custom CRUD can be added
- Easy to customize
Server Requirements
-
Apache with PHP and MySQL server
-
PHP v5.5+
- MySqli
- GD Extension
- CURL Enabled
- Openssl Enabled
Quick Installation Guide
-
Unzip the expense_management.zip which you have downloaded from the Envato Market.
-
Upload the files to your sever using any FTP client.
-
The file structure should be look like this:
-
/application
-
/assets
-
/documentation
-
/files
-
/install
-
/system
-
/index.php
-
Create a MySql Database via your web hosting providers Control Panel (e.g. cPanel). Once you have created the database, remember the following information:
-
Database Name
-
Database Username
-
Database Password
-
Open your web browser and enter the url (http://yourdomain.com or http://yourdomain.com/foldername) in the address bar.
-
If everything is ok, you should get the installation page.
-
Follow the instructions and click on the Next button. Then enter the database details which you have collected earlier. Finally, enter your name, email and password which will be required to login in the application. Then click on the Finish button and wait a while. The system will create necessary tables in database, files and configuration.
-
That's all! After completing the installation delete the installation folder and login to your dashboard.
You can see analytical data on your dashboard
User's Analytics
-
Total Users: Number of users registered on the site.
-
Today Registered: Number of users registered on current date.
-
Active Users: Number of users who's account status is "Active" on the site.
Last Registrations
-
List of user's who are registered recently. It will show list of upto 10 users max.
-
You can define different currency for different clients. It's useful when you are working with a foreign client which currency symbol is different from your default currency symbol. By default the invoices of the client will be generated using the default currency symbol if you don't define any currency symbol with that specific client.
Monthly Registrations
-
Shows bar graph on monthly basis, with number of registered users for each month. Each Bar represent the number of user registered in particular month
You can manage your profile here.
My Account
-
You can add/update your profile information here
-
You can update the password, email, name, your profile picture etc.
You can manage your expenses here.
Expenses
-
You can add/update/delete your expenses here
-
You can filter your expenses based on the selected date range.
-
You can export the copy of your expenses
You can manage your income here.
Income
-
You can add/update/delete your income here
-
You can filter your income based on the selected date range.
-
You can export the copy of your income
You can manage your expense category here.
Expense Category
-
You can add/update/delete your expense category here
-
You can export a PDF of your expense category
You can manage your expense category here.
Income Category
-
You can add/update/delete your income category here
-
You can export a PDF of your income category
You can manage site users here.
Manage users
- You can see list of users
- You can search users
- You can Add user
- You can Invite user
- You can Edit user
- You can Delete user
You can manage your site basic settings from here
Settings
- Manage Title, Logo, Favicon, Allow Registration and User Type
- Manage Email settings to use SMTP or php mail funciton
- Manage Permission: Set permission as per user type to access different sections of the site or records
- You can add custom fields in existing modules through settings
Email templates: The application has some default email templates which are using to send different emails. You can change the appearance of the email templates as you like.
-
The config folder contains all configuration related files.
-
The controllers folder contains all business logic of the application.
-
Views folder contains all the view related files.
-
Assets folder contains all css, js and images of the application.
-
Don't change anything in system folder. It's contains the core functions of the application.
To learn more about the application you can learn the codeigniter framework.


This HTML, CSS and JavaScript are brought to you by Cloudflare and Azure Blob Storage. For some serverless logic, the cat below is selected by an API written in Node.js and running on Azure
Container Instance an Azure Function.
Naturally, the whole setup is managed by Terraform and you can read the blog post here.


|
Properties
|
| central |
boolean |
oneTime |
false |
Indicates whether the progress bar should be loaded from the center.
|
| class |
boolean |
oneTime |
at-nanobar |
Your customized css class for the control.
|
| increment |
number |
oneWay |
0.5 |
The amount of progress to increment while loading is set to true
|
| loading |
boolean |
oneWay |
false |
Shows the loading indicator when its value is set to true , and will hide it when its is false .
|
| percent |
number |
oneWay |
|
If you want to manually set the value of nanobar use this option.
|
| shadow |
boolean |
oneTime |
true |
Indicates whether the progress bar should have shadows or not.
|
| type |
string |
oneTime |
secondary |
Contextual types of bootstrap.
|


I had agreed to write about a discussion in our group on “அன்பே சிவம்”
or “Love is God” and few people emphatically agreed that these two are very
meaningful and is the ultimate meaning of life. I wanted to write very
elaborately on this topic but would like to keep it crisp this time and I am
sure there will be opportunities to cover other points.
There was also
another topic in our group regarding evolution – a contention that scientists
and those of us who are very educated in the western style would subscribe to
too. Evolutionists say that complex organisms evolved from simpler ones. I had
told earlier that this is improbable even in the case of a single celled
organism. For example, a bacterium to evolve into a bacterium with flagellum (a
spiral hair which helps the bacteria move), the probability is incomprehensibly
low when calculated mathematically. A flagellum is driven by a cellular motor
(you can search it in the web) which spins like a real life motor. Could such an
incredible machine be evolving by itself? It makes sense to believe that a more
intelligent being creates lesser capable and evolved beings doesn’t it? This
exactly is what is taught by our philosophy. It is not hard to imagine that that
a spirit soul or Jiva “evolves” over successive births as it passes through more
evolved bodies. Once it enters the body of a human, it gets profoundly powerful
mind, buddhi and chittha to really analyze, hear and understand the purpose of
life, which is to get rid of the birth cycles. A child evolves into a man. A
student evolves into a great musician…… Meaning of evolution should be this
rather than evolution of “bodily structures”. Pinnacle of evolution is to reach
a stage where a body is no longer a requirement as bodies are degradable,
destructible and painful – yantra rudani mayaya. Body is just a machine made of
“energy” which gets dismantled and dispersed after its time.
There different
types of people
1.
Those who say that
everything happened by itself – they say that in primordial times, there was a
soup of chemicals on the surface of the earth, somehow they combined to form a
single celled organism and then bigger organisms came from it by evolution –
these people go on and come up with weird and wildly speculative theories on how
the universe came about – big bang – and all that and dumb ones listen to them.
2.
Those, after several
births contemplating the above theories, agree that … OK…. these theories are
questionable – there is a “thing” called nature which creates all these. It is
indeed mysterious and powerful, but no, it cannot have a personality.
Yes… I felt I should
add this too – an afterthought, hours after publishing the original. The 2.5
folks are 2 but would believe miracles exist and would like to see them once in
a while to bolster their belief. These folks mainly throng the miracle men who
exhibit supernatural powers. If they are gone, the 2.5s visit temples
constructed for them, praying for miracles and heal them. The godmen they pray
when they are alive or dead, are always frustrated that people throng just to
see the miracles. Not to actually learn to inquire, listen, practice and
benefit. I quote Richard Bach here….
and it came to pass
when he (the messiah guru) saw that the multitude thronged him the more day on
day, tighter and closer and fiercer than ever they had, when he saw that they
pressed him to heal them without rest and feed them always his miracles, to
learn for them and to live their lives, he went alone that day unto a hilltop
apart, and there he prayed……
3.
There are those who
have come to a conclusion that if nature is so powerful that it can create a
motor at cellular level, it can as well take a personality – in any form – human
or animal. And to those who have reached further evolution within this stage 3,
this uttering from Lord Krishna will make sense.
ஸர்வ யோனிஷு கௌந்தேய
மூர்தய: சம்பவந்தி ய;
தாசாம் ப்ரஹ்ம மஹத்
யோனி:
அஹம் பீஜப்ரதப்பிதா
The Lord says that
of all the yoni’s (has two meanings – relevant one here is “of all species”), in
this creation, I AM THE SEED GIVING FATHER. Here seed means the basic building
block of a species (840,000,000 species in all). He has enabled his deputies to
create organisms based on the seeds provided by him. It is not that organisms
evolved by themselves.
So…. Having said
that evolution is a process for a jiva soul to arise through a successful
platforms of physical bodies to get into a human form, within which they evolve
mentally and spiritually to get released from the material bonding, let us see
how.
Human body is built
specifically to receive, assimilate and transmit life energies. Discussion on
what these energies are is a separate topic by itself. Human body has a visible
physical gross body and subtle spiritual body which becomes visible only when
one develop clairvoyant powers. It is in the subtle body that the most
remarkable things happen. This becomes accessible to those who practice yogic
techniques and by being strict in diet and habits. The energies enter, leave,
circulate and transmit through nodal centers in the subtle body. These nodal
centers’ development is completely based on a person’s mental evolution. The
lowest nodal center is responsible for the basic survival aspect of the human
organism – in a child, this is probably the only nodal point which is developed.
A child’s only motivation is to eat and survive. Mental faculties are not
developed at this stage. If this is the case in an adult human, the person will
be severely depressed, suicidal and having no motivation to meet people, even
eat and survive. Next higher nodal center is associated with emotions and
desires of procreation. Love at this stage is purely lust and animalistic – we
haven’t reached the title of this essay yet. Next higher nodal center is
associated with power, will to do things – achieve, self-esteem, ego etc…Person
with this evolvement level will try to establish a career, income, sustenance,
power etc. Even at this stage, the person is like the neighbors in Indian
apartments – fight for parking, water, amenities and analysis of whose children
is most adorable and so on. Most people end their life at this stage. Next
higher nodal point is where we come to our topic – anbe sivam. This point is
associated with real love, acceptance. To a person who has crossed over this, a
whole new paradigm opens up. This nodal point is perhaps the toughest to cross –
the க்ரந்தி (knot) is so tight that it is not easy to open it up here in this
nodal point. By being close and in loving nature with himself, other humans and
even other life forms, the person feels close to God. This is how அன்பே சிவம்
came about. There are further steps to evolution though – the next higher nodal
point – communication, creativity, invention, so on and so forth. At this level
of evolution, the person will be able to convince, deliver speech, direct other
people and create better world and products. Next higher level nodal point is
associated with imagination, mental power, clairvoyance, intelligence,
intuition, occult and so on. At this level of evolution, the man begins to think
all the developments in previous stage are fine but there is something lacking.
He starts searching for the ultimate happiness and the source of this universe,
“which” is also the source of happiness. The
final Nodal point to open gives the person complete knowledge as the Jiva itself
is made of knowledge (ஞானஸ்வரூபீ).
Person can receive cosmic instructions, establish supernatural contacts,
transcend consciousness and enter a state a fullness.
கவிதார்கிக ஸீம்ஹாய
கல்யாண குணாசாலினே
ஸ்ரீமதே வேங்கடேசாய
வேதாந்த குரவே நம;
Rajesh K – May 18,
2017 8:19 PM IST
-the end-


This step is actually common to a certain number of different applications. The instruction mentioned in this page are completely defining all these applications, even though some limitations may occur in some of them, consisting in a reduced number of possible choices availability.
The first section is about defining the fluid models, turbulence and density in particular.
Flow type: drop down list from which the user has to select the flow type
Turbulence: drop down list from which the user has to select the turbulence model
Fluid properties: specification of the fluid properties parameters
Fluid initialization: definition of the initial condition for the fluid variables
Properties and parameters to insert vary with the Flow Type.
We report here the most common initialization for the turbulent variables
Turbulent kinetic energy: $k = \cfrac{3}{2} \left( \overline{u} \cdot I \right)^{2}$
Turbulent dissipation rate: $\varepsilon = \cfrac{0.09 k^{1.5}}{l}$
Specific dissipation rate: $\omega = \cfrac{\sqrt{k}}{l}$
Turbulent kinematic eddy viscosity: $\nu_{t} = \sqrt{\cfrac{3}{2}} \overline{u} \cdot I l$
where $I$ is the turbulence intensity (suggested between 1% and 10%) and l is the turbulence length scale, approximated with the hydraulic diameter $D_h$.
Properties and parameters to insert vary with the turbulence model
[To be completed …]
The boundary conditions are the fundamental stage of the CFD simulations. CONSELF gives you a multiple choice of boundaries, each of which is target for the peculiar application you are currently using. Here you are a brief summary of what you are required to insert.
In this section it is possible to specify the boundary condition to apply to the flow. For instance, it is possible to define an inlet, an outlet or a wall. In order to do that the user has to specify for each flow variable its value (or gradient) at a specific boundary.
Boundary condition: drop down list from which the user has to select every surface of which the geometry (and the bounding box) is composed in order to assign boundary conditions to it.
BC TYPE list: a list of available boundary conditions to be assigned to every surface. Every choice of this list gives access to a certain number of parameters to be defined in order to process it correctly.
In order to get hints and details about boundary conditions you may encounter check this page.
By default every surface is assigned an adiabatic no-slip wall boundary condition.
In case Transient scheme is chosen
In case Steady scheme is chosen
After these options you have the possibility to select the number of cores used to run the simulation. Using the dropdown menu you can pick the number of cores you are using to run the simulation. In general, a higher number of cores allows you to get the results in a shorter amount of time. At the same time, the cores number define the machine size where you run the simulation, modifying the available RAM as well.
After completion of all fields, the user can finalize the step clicking on Submit button. This will start the CFD step application that will appear in the Case in progress section of the main Simulation page.
The CFD step usually requires a high number of iterations (few thousands) in order to produce accurate results.
While the CFD analysis is running you can check in realtime the progress of your CFD analysis by using the residual plot. This plot returns the residual values for pressure and velocities whilst the simulation is actually proceeding. These residuals represent a fundamental parameter when running a steady case simulation: to monitor the convergence they should keep decreasing while the iterations proceeds, until they reach a threshold value of 10^-4 which actually stops the simulation. For a steady case instead they do not have a convergence threshold, since the simulation proceeds until the specified final time is encountered.
To access the residual graph just click on this icon.
A new image pops-up with the residual plot of the simulation. This image is updated in real-time, so if you wait few minutes and click it again you are going to see what has happened meanwhile in the calculation. When the simulation is completed the residual plot of a steady case should look like the following one. The reason of the spike you see after about 1000 iterations is in the simulation process. CONSELF runs in fact two separate simulations for every CFD submitted:
CONSELF is constantly producing more and more tutorials and guidelines to users so they can get benefits out of CFD/FEM simulations. In particular, referring to CFD analysis, you can find a certain number of posts by visiting this page.


// SPDX-License-Identifier: Apache-2.0
pragma solidity ^0.8.5;
import<EMAIL_ADDRESS>import<EMAIL_ADDRESS>import "./matic/IRootChainManager.sol";
/// @title PolygonCommunityVault
/// @author Alex T
/// @notice Assists with moving a specified token from the root chain to the child chain. Made for Polygon
/// @dev It needs to be deployed at the same address on both chains. Uses CREATE2 on deploy to achieve that
contract PolygonCommunityVault is OwnableUpgradeable {
IRootChainManager internal rootChainManager;
address internal erc20Predicate;
address public token;
/// @notice Notifies of allowance being set
/// @dev Emitted when setAlowance is called
/// @param caller Address that called setAllowance
/// @param spender Address that the allowance has been set for
/// @param amount The amount of tokens that spender can spend
event SetAllowance(address indexed caller, address indexed spender, uint256 amount);
/// @notice Notifies of a transfer to the child chain being made
/// @dev Emitted when transferToChild is called
/// @param caller Address that called transferToChild
/// @param token Address of the transferred token
/// @param amount The amount of tokens that were sent to the child chain
event TransferToChild(address indexed caller, address indexed token, uint256 amount);
/// @notice PolygonCommunityVault initializer
/// @dev Needs to be called after deployment. Get addresses from https://github.com/maticnetwork/static/tree/master/network
/// @param _token The address of the ERC20 that the vault will manipulate/own
/// @param _rootChainManager Polygon root network chain manager. Zero address for child deployment
/// @param _erc20Predicate Polygon ERC20 Predicate. Zero address for child deployment
function initialize(address _token, address _rootChainManager, address _erc20Predicate) public initializer {
require(_token != address(0), "Vault: a valid token address must be provided");
__Ownable_init();
token = _token;
if (_rootChainManager != address(0)) {
require(_erc20Predicate != address(0), "Vault: erc20Predicate must not be 0x0");
erc20Predicate = _erc20Predicate;
rootChainManager = IRootChainManager(_rootChainManager);
}
}
/// @notice Sets Allowance for specified contract for the managed token
/// @dev Emits SetAllowance on allowance being successfully set
/// @param _spender Address that is allowed to spend the funds
/// @param _amount How much cand the address spend
function setAllowance(address _spender, uint256 _amount) public onlyOwner {
IERC20(token).approve(_spender, _amount);
emit SetAllowance(msg.sender, _spender, _amount);
}
/// @notice Transfers full balance of managed token through the Polygon Bridge
/// @dev Emits TransferToChild on funds being sucessfuly deposited
function transferToChild() public { // onlyOnRoot , maybe onlyOwner
require(erc20Predicate != address(0), "Vault: transfer to child chain is disabled");
IERC20 erc20 = IERC20(token);
uint256 amount = erc20.balanceOf(address(this));
erc20.approve(erc20Predicate, amount);
rootChainManager.depositFor(address(this), token, abi.encode(amount));
emit TransferToChild(msg.sender, token, amount);
}
}
|


This section describes the ways to start, stop, and reload the Keystone services.
Keystone can serve a number of REST APIs and extensions on different TCP/IP ports.
The core Keystone API is primarily a read-only API (the only write operation being POST /tokens which authenticates a client, and returns a generated token). This API is sufficient to use OpenStack if all users, roles, endpoints already exist. This is often the case if Keystone is using an enterprise backend and the backend is managed through other entperrise tools and business processes. This core API is called the Service API and can be started separately from the more complete Admin API. By default, Keystone runs this API on port 5000. This is not an IANA assigned port and should not be relied upon (instead, use the Admin API on port 35357 to look for this endpoint - more on this later)
The Service API is started using this command in the /bin directory:
$ ./keystone-auth
Inn order for Keystone to be a fully functional service out of the box, API extensions that provide full CRUD operations is included with Keystone. This full set of API calls includes the OS-KSCATALOG, OS-KSADM, and OS-KSEC2 extensions. These extensions provide a full set of create, read, update, delete (CRUD) operations that can be used to manage Keystone objects through REST calls. By default Keystone runs this full REST API on TCP/IP port 35357 (assigned by IANA to Keystone).
The Admin API is started using this command in the /bin directory:
$ ./keystone-admin
Both APIs can be loaded simultaneously (on different ports) using this command:
$ ./keystone
There are two ways to start a Keystone service (either the Service API server or the Admin API server):
We recommend using the second way in production and the first for development and debugging.
The first is by directly calling the server program, passing in command-line options and a single argument for a paste.deploy configuration file to use when configuring the server application.
Note
Keystone ships with an etc/ directory that contains a sample paste.deploy configuration files that you can copy to a standard configuration directory and adapt for your own uses.
If you do not specify a configuration file on the command line, Keystone will do its best to locate a configuration file in one of the following directories, stopping at the first config file it finds:
The filename that is searched for is keystone.conf by default.
If no configuration file is found, you will see an error, like:
$ keystone
ERROR: Unable to locate any configuration file. Cannot load application keystone
Here is an example showing how you can manually start the keystone-auth server and keystone-registry in a shell:
$ ./keystone -d
keystone-legacy-auth: INFO **************************************************
keystone-legacy-auth: INFO Configuration options gathered from config file:
keystone-legacy-auth: INFO /Users/ziadsawalha/Documents/Code/keystone/etc/keystone.conf
keystone-legacy-auth: INFO ================================================
keystone-legacy-auth: INFO admin_host <IP_ADDRESS>
keystone-legacy-auth: INFO admin_port 35357
keystone-legacy-auth: INFO admin_ssl False
keystone-legacy-auth: INFO backends keystone.backends.sqlalchemy
keystone-legacy-auth: INFO ca_certs /etc/keystone/ssl/certs/ca.pem
keystone-legacy-auth: INFO cert_required True
keystone-legacy-auth: INFO certfile /etc/keystone/ssl/certs/keystone.pem
keystone-legacy-auth: INFO debug True
keystone-legacy-auth: INFO default_store sqlite
keystone-legacy-auth: INFO extensions osksadm,oskscatalog,hpidm
keystone-legacy-auth: INFO hash-password True
keystone-legacy-auth: INFO keyfile /etc/keystone/ssl/private/keystonekey.pem
keystone-legacy-auth: INFO keystone-admin-role Admin
keystone-legacy-auth: INFO keystone-service-admin-role KeystoneServiceAdmin
keystone-legacy-auth: INFO log_dir .
keystone-legacy-auth: INFO log_file keystone.log
keystone-legacy-auth: INFO service-header-mappings {
'nova' : 'X-Server-Management-Url',
'swift' : 'X-Storage-Url',
'cdn' : 'X-CDN-Management-Url'}
keystone-legacy-auth: INFO service_host <IP_ADDRESS>
keystone-legacy-auth: INFO service_port 5000
keystone-legacy-auth: INFO service_ssl False
keystone-legacy-auth: INFO verbose False
keystone-legacy-auth: INFO **************************************************
passlib.registry: INFO registered crypt handler 'sha512_crypt': <class 'passlib.handlers.sha2_crypt.sha512_crypt'>
Starting the RAX-KEY extension
Starting the Legacy Authentication component
admin : INFO **************************************************
admin : INFO Configuration options gathered from config file:
admin : INFO /Users/ziadsawalha/Documents/Code/keystone/etc/keystone.conf
admin : INFO ================================================
admin : INFO admin_host <IP_ADDRESS>
admin : INFO admin_port 35357
admin : INFO admin_ssl False
admin : INFO backends keystone.backends.sqlalchemy
admin : INFO ca_certs /etc/keystone/ssl/certs/ca.pem
admin : INFO cert_required True
admin : INFO certfile /etc/keystone/ssl/certs/keystone.pem
admin : INFO debug True
admin : INFO default_store sqlite
admin : INFO extensions osksadm,oskscatalog,hpidm
admin : INFO hash-password True
admin : INFO keyfile /etc/keystone/ssl/private/keystonekey.pem
admin : INFO keystone-admin-role Admin
admin : INFO keystone-service-admin-role KeystoneServiceAdmin
admin : INFO log_dir .
admin : INFO log_file keystone.log
admin : INFO service-header-mappings {
'nova' : 'X-Server-Management-Url',
'swift' : 'X-Storage-Url',
'cdn' : 'X-CDN-Management-Url'}
admin : INFO service_host <IP_ADDRESS>
admin : INFO service_port 5000
admin : INFO service_ssl False
admin : INFO verbose False
admin : INFO **************************************************
Using config file: /Users/ziadsawalha/Documents/Code/keystone/etc/keystone.conf
Service API (ssl=False) listening on <IP_ADDRESS>:5000
Admin API (ssl=False) listening on <IP_ADDRESS>:35357
eventlet.wsgi.server: DEBUG (77128) wsgi starting up on http://<IP_ADDRESS>:5000/
eventlet.wsgi.server: DEBUG (77128) wsgi starting up on http://<IP_ADDRESS>:35357/
$ sudo keystone-registry keystone-registry.conf &
jsuh@mc-ats1:~$ 2011-04-13 14:51:16 INFO [sqlalchemy.engine.base.Engine.0x...feac] PRAGMA table_info("images")
2011-04-13 14:51:16 INFO [sqlalchemy.engine.base.Engine.0x...feac] ()
2011-04-13 14:51:16 DEBUG [sqlalchemy.engine.base.Engine.0x...feac] Col ('cid', 'name', 'type', 'notnull', 'dflt_value', 'pk')
2011-04-13 14:51:16 DEBUG [sqlalchemy.engine.base.Engine.0x...feac] Row (0, u'created_at', u'DATETIME', 1, None, 0)
2011-04-13 14:51:16 DEBUG [sqlalchemy.engine.base.Engine.0x...feac] Row (1, u'updated_at', u'DATETIME', 0, None, 0)
2011-04-13 14:51:16 DEBUG [sqlalchemy.engine.base.Engine.0x...feac] Row (2, u'deleted_at', u'DATETIME', 0, None, 0)
2011-04-13 14:51:16 DEBUG [sqlalchemy.engine.base.Engine.0x...feac] Row (3, u'deleted', u'BOOLEAN', 1, None, 0)
2011-04-13 14:51:16 DEBUG [sqlalchemy.engine.base.Engine.0x...feac] Row (4, u'id', u'INTEGER', 1, None, 1)
2011-04-13 14:51:16 DEBUG [sqlalchemy.engine.base.Engine.0x...feac] Row (5, u'name', u'VARCHAR(255)', 0, None, 0)
2011-04-13 14:51:16 DEBUG [sqlalchemy.engine.base.Engine.0x...feac] Row (6, u'disk_format', u'VARCHAR(20)', 0, None, 0)
2011-04-13 14:51:16 DEBUG [sqlalchemy.engine.base.Engine.0x...feac] Row (7, u'container_format', u'VARCHAR(20)', 0, None, 0)
2011-04-13 14:51:16 DEBUG [sqlalchemy.engine.base.Engine.0x...feac] Row (8, u'size', u'INTEGER', 0, None, 0)
2011-04-13 14:51:16 DEBUG [sqlalchemy.engine.base.Engine.0x...feac] Row (9, u'status', u'VARCHAR(30)', 1, None, 0)
2011-04-13 14:51:16 DEBUG [sqlalchemy.engine.base.Engine.0x...feac] Row (10, u'is_public', u'BOOLEAN', 1, None, 0)
2011-04-13 14:51:16 DEBUG [sqlalchemy.engine.base.Engine.0x...feac] Row (11, u'location', u'TEXT', 0, None, 0)
2011-04-13 14:51:16 INFO [sqlalchemy.engine.base.Engine.0x...feac] PRAGMA table_info("image_properties")
2011-04-13 14:51:16 INFO [sqlalchemy.engine.base.Engine.0x...feac] ()
2011-04-13 14:51:16 DEBUG [sqlalchemy.engine.base.Engine.0x...feac] Col ('cid', 'name', 'type', 'notnull', 'dflt_value', 'pk')
2011-04-13 14:51:16 DEBUG [sqlalchemy.engine.base.Engine.0x...feac] Row (0, u'created_at', u'DATETIME', 1, None, 0)
2011-04-13 14:51:16 DEBUG [sqlalchemy.engine.base.Engine.0x...feac] Row (1, u'updated_at', u'DATETIME', 0, None, 0)
2011-04-13 14:51:16 DEBUG [sqlalchemy.engine.base.Engine.0x...feac] Row (2, u'deleted_at', u'DATETIME', 0, None, 0)
2011-04-13 14:51:16 DEBUG [sqlalchemy.engine.base.Engine.0x...feac] Row (3, u'deleted', u'BOOLEAN', 1, None, 0)
2011-04-13 14:51:16 DEBUG [sqlalchemy.engine.base.Engine.0x...feac] Row (4, u'id', u'INTEGER', 1, None, 1)
2011-04-13 14:51:16 DEBUG [sqlalchemy.engine.base.Engine.0x...feac] Row (5, u'image_id', u'INTEGER', 1, None, 0)
2011-04-13 14:51:16 DEBUG [sqlalchemy.engine.base.Engine.0x...feac] Row (6, u'key', u'VARCHAR(255)', 1, None, 0)
2011-04-13 14:51:16 DEBUG [sqlalchemy.engine.base.Engine.0x...feac] Row (7, u'value', u'TEXT', 0, None, 0)
$ ps aux | grep keystone
myuser 77148 0.0 0.0 2434892 472 s012 U+ 11:50AM 0:00.01 grep keystone
myuser 77128 0.0 0.6 2459356 25360 s011 S+ 11:48AM 0:00.82 python ./keystone -d
Simply supply the configuration file as the first argument and then any common options you want to use (-d was used above to show some of the debugging output that the server shows when starting up. Call the server program with --help to see all available options you can specify on the command line.)
Using --trace-calls is useful for showing a trace of calls (errors in red) for debugging.
For more information on configuring the server via the paste.deploy configuration files, see the section entitled Configuring Keystone
Note that the server daemonizes itself by using the standard shell backgrounding indicator, &, in the previous example. For most use cases, we recommend using the keystone-control server daemon wrapper for daemonizing. See below for more details on daemonization with keystone-control.
The second way to start up a Keystone server is to use the keystone-control program. keystone-control is a wrapper script that allows the user to start, stop, restart, and reload the other Keystone server programs in a fashion that is more conducive to automation and scripting.
Servers started via the keystone-control program are always daemonized, meaning that the server program process runs in the background.
To start a Keystone server with keystone-control, simply call keystone-control with a server and the word “start”, followed by any command-line options you wish to provide. Start the server with keystone-control in the following way:
$ sudo keystone-control <SERVER> start [CONFPATH]
Note
You must use the sudo program to run keystone-control currently, as the pid files for the server programs are written to /var/run/keystone/
Start the keystone-admin server using keystone-control:
$ sudo keystone-control admin start
Starting keystone-admin with /etc/keystone.conf
The same paste.deploy configuration files are used by keystone-control to start the Keystone server programs, and you can specify (as the example above shows) a configuration file when starting the server.
If you started a Keystone server manually and did not use the & backgrounding function, simply send a terminate signal to the server process by typing Ctrl-C
If you started the Keystone server using keystone-control, you can use the keystone-control program to stop it:
$ sudo keystone-control <SERVER> stop
For example:
$ sudo keystone-control auth stop
Stopping keystone-auth pid: 77401 signal: 15
Restart the Keystone server using keystone-control:
$ sudo keystone-control admin restart /etc/keystone.conf
Stopping keystone-admin pid: 77401 signal: 15
Starting keystone-admin with /etc/keystone.conf


index
module components.s2t.main
Alink
Slink
Slink2Tlink
Main module for the S2T component.
Responsible for the top-level processing of S2T. It contains Slink2Tlink, which
inherits from TarsqiComponent as well as Slink, a class that takes care of
applying s2t-rules to each SLINK.
class Alink
Inherits from: object
Public Functions
__init__(self, xmldoc, doctree, alinkTag)
apply_patterns(self)
Loop through TLINKs to match A2T pattern
createTlink(self, tlink, patternNum)
is_a2t_candidate(self)
lookForAtlinks(self)
Examine whether the Alink can generate a Tlink.
class Slink
Inherits from: object
Implements the Slink object. An Slink object consists of the attributes
of the SLINK (relType, eventInstanceID, and subordinatedEventInstance) and
the attributes of the specific event instances involved in the link.
Instance variables:
doctree - a TarsqiTree
attrs - adictionary containing the attributes of the slink
eventInstance - an InstanceTag
subEventInstance - an InstanceTag
Public Functions
__init__(self, doctree, instances, slinkTag)
Initialize an Slink using an XMLDocument, a dictionary of instances
and the slink element from xmldoc.
__str__(self)
create_tlink(self, rule)
Takes an S2T rule object and calls the add_tlink method from xmldoc
to create a new TLINK using the appropriate SLINK event instance IDs and
the relation attribute of the S2T rule.
match(self, rule)
The match method applies an S2TRule object to an the Slink. It
returns the rule if the Slink is a match, False otherwise.
match_rules(self, rules)
Match all the rules in the rules argument to the SLINK. If a rule
matches, this method creates a TLINK and breaks out of the loop.
class Slink2Tlink
Inherits from: TarsqiComponent
Implements the S2T component of Tarsqi. S2T takes the output of Slinket
and applies rules to the Slinks to create new Tlinks.
Public Functions
__init__(self)
Set component name and load rules into an S2TRuleDictionary object.
process_doctree(self, doctree)
Apply all S2T rules to doctree.
Private Functions
_add_links_to_tarsqidoc(self)
Export the links from the TarsqiTree to the TagRepository instance on
the TarsqiDocument. We do this because the match code inserts into the
tarsqi tree, but we may want to revisit this and do it the same way as
Blinker, which adds directly to the TarsqiDocument.


黒の手番です。65 はどう動かしますか？
Unlimited
pips Black=137 White=135
(CorrectAnswer= 0/0, ErrorScore= 0)
1. 13/8 13/7 eq:+0.200 55.63% (G:6.41% B:0.15%) 44.37% (G:4.85% B:0.13%) 2. 7/1 6/1 eq:+0.094 (-0.106) 52.80% (G:7.95% B:0.19%) 47.20% (G:8.99% B:0.23%) 3. 8/2 7/2 eq:+0.054 (-0.146) 51.94% (G:7.73% B:0.25%) 48.06% (G:9.48% B:0.25%) 4. 8/2 6/1 eq:+0.034 (-0.166) 51.34% (G:7.73% B:0.17%) 48.66% (G:9.63% B:0.29%) 5. 8/3 7/1 eq:+0.024 (-0.177) 51.42% (G:6.99% B:0.16%) 48.58% (G:9.14% B:0.22%)


Variables
Const allRoutes
allRoutes: Array<any> = require('express-list-endpoints')(ProxyRouter)
Const allRoutesSerialized
allRoutesSerialized: any = serializer.serialize(allRoutes)
Const apiLimiter
apiLimiter: any = RateLimit({windowMs: 60 * 60 * 1000, // 1 hourmax: 1000,message: "Too many requests from this IP, please try again after an hour"})
Let app
app: Express = Express()
Const serializer
serializer: JSONAPISerializer = new JSONAPISerializer("apiroutes",{attributes : ["methods","path"]})
get routes of API , needed AFTER the other routes were set


SUBROUTINE ZTGSEN( IJOB, WANTQ, WANTZ, SELECT, N, A, LDA, B, LDB, $ ALPHA, BETA, Q, LDQ, Z, LDZ, M, PL, PR, DIF, $ WORK, LWORK, IWORK, LIWORK, INFO ) * * -- LAPACK routine (version 3.1.1) -- * Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd.. * January 2007 * * Modified to call ZLACN2 in place of ZLACON, 10 Feb 03, SJH. * * .. Scalar Arguments .. LOGICAL WANTQ, WANTZ INTEGER IJOB, INFO, LDA, LDB, LDQ, LDZ, LIWORK, LWORK, $ M, N DOUBLE PRECISION PL, PR * .. * .. Array Arguments .. LOGICAL SELECT( * ) INTEGER IWORK( * ) DOUBLE PRECISION DIF( * ) COMPLEX*16 A( LDA, * ), ALPHA( * ), B( LDB, * ), $ BETA( * ), Q( LDQ, * ), WORK( * ), Z( LDZ, * ) * .. * * Purpose * ======= * * ZTGSEN reorders the generalized Schur decomposition of a complex * matrix pair (A, B) (in terms of an unitary equivalence trans- * formation Q' * (A, B) * Z), so that a selected cluster of eigenvalues * appears in the leading diagonal blocks of the pair (A,B). The leading * columns of Q and Z form unitary bases of the corresponding left and * right eigenspaces (deflating subspaces). (A, B) must be in * generalized Schur canonical form, that is, A and B are both upper * triangular. * * ZTGSEN also computes the generalized eigenvalues * * w(j)= ALPHA(j) / BETA(j) * * of the reordered matrix pair (A, B). * * Optionally, the routine computes estimates of reciprocal condition * numbers for eigenvalues and eigenspaces. These are Difu[(A11,B11), * (A22,B22)] and Difl[(A11,B11), (A22,B22)], i.e. the separation(s) * between the matrix pairs (A11, B11) and (A22,B22) that correspond to * the selected cluster and the eigenvalues outside the cluster, resp., * and norms of "projections" onto left and right eigenspaces w.r.t. * the selected cluster in the (1,1)-block. * * * Arguments * ========= * * IJOB (input) integer * Specifies whether condition numbers are required for the * cluster of eigenvalues (PL and PR) or the deflating subspaces * (Difu and Difl): * =0: Only reorder w.r.t. SELECT. No extras. * =1: Reciprocal of norms of "projections" onto left and right * eigenspaces w.r.t. the selected cluster (PL and PR). * =2: Upper bounds on Difu and Difl. F-norm-based estimate * (DIF(1:2)). * =3: Estimate of Difu and Difl. 1-norm-based estimate * (DIF(1:2)). * About 5 times as expensive as IJOB = 2. * =4: Compute PL, PR and DIF (i.e. 0, 1 and 2 above): Economic * version to get it all. * =5: Compute PL, PR and DIF (i.e. 0, 1 and 3 above) * * WANTQ (input) LOGICAL * .TRUE. : update the left transformation matrix Q; * .FALSE.: do not update Q. * * WANTZ (input) LOGICAL * .TRUE. : update the right transformation matrix Z; * .FALSE.: do not update Z. * * SELECT (input) LOGICAL array, dimension (N) * SELECT specifies the eigenvalues in the selected cluster. To * select an eigenvalue w(j), SELECT(j) must be set to * .TRUE.. * * N (input) INTEGER * The order of the matrices A and B. N >= 0. * * A (input/output) COMPLEX*16 array, dimension(LDA,N) * On entry, the upper triangular matrix A, in generalized * Schur canonical form. * On exit, A is overwritten by the reordered matrix A. * * LDA (input) INTEGER * The leading dimension of the array A. LDA >= max(1,N). * * B (input/output) COMPLEX*16 array, dimension(LDB,N) * On entry, the upper triangular matrix B, in generalized * Schur canonical form. * On exit, B is overwritten by the reordered matrix B. * * LDB (input) INTEGER * The leading dimension of the array B. LDB >= max(1,N). * * ALPHA (output) COMPLEX*16 array, dimension (N) * BETA (output) COMPLEX*16 array, dimension (N) * The diagonal elements of A and B, respectively, * when the pair (A,B) has been reduced to generalized Schur * form. ALPHA(i)/BETA(i) i=1,...,N are the generalized * eigenvalues. * * Q (input/output) COMPLEX*16 array, dimension (LDQ,N) * On entry, if WANTQ = .TRUE., Q is an N-by-N matrix. * On exit, Q has been postmultiplied by the left unitary * transformation matrix which reorder (A, B); The leading M * columns of Q form orthonormal bases for the specified pair of * left eigenspaces (deflating subspaces). * If WANTQ = .FALSE., Q is not referenced. * * LDQ (input) INTEGER * The leading dimension of the array Q. LDQ >= 1. * If WANTQ = .TRUE., LDQ >= N. * * Z (input/output) COMPLEX*16 array, dimension (LDZ,N) * On entry, if WANTZ = .TRUE., Z is an N-by-N matrix. * On exit, Z has been postmultiplied by the left unitary * transformation matrix which reorder (A, B); The leading M * columns of Z form orthonormal bases for the specified pair of * left eigenspaces (deflating subspaces). * If WANTZ = .FALSE., Z is not referenced. * * LDZ (input) INTEGER * The leading dimension of the array Z. LDZ >= 1. * If WANTZ = .TRUE., LDZ >= N. * * M (output) INTEGER * The dimension of the specified pair of left and right * eigenspaces, (deflating subspaces) 0 <= M <= N. * * PL (output) DOUBLE PRECISION * PR (output) DOUBLE PRECISION * If IJOB = 1, 4 or 5, PL, PR are lower bounds on the * reciprocal of the norm of "projections" onto left and right * eigenspace with respect to the selected cluster. * 0 < PL, PR <= 1. * If M = 0 or M = N, PL = PR = 1. * If IJOB = 0, 2 or 3 PL, PR are not referenced. * * DIF (output) DOUBLE PRECISION array, dimension (2). * If IJOB >= 2, DIF(1:2) store the estimates of Difu and Difl. * If IJOB = 2 or 4, DIF(1:2) are F-norm-based upper bounds on * Difu and Difl. If IJOB = 3 or 5, DIF(1:2) are 1-norm-based * estimates of Difu and Difl, computed using reversed * communication with ZLACN2. * If M = 0 or N, DIF(1:2) = F-norm([A, B]). * If IJOB = 0 or 1, DIF is not referenced. * * WORK (workspace/output) COMPLEX*16 array, dimension (MAX(1,LWORK)) * IF IJOB = 0, WORK is not referenced. Otherwise, * on exit, if INFO = 0, WORK(1) returns the optimal LWORK. * * LWORK (input) INTEGER * The dimension of the array WORK. LWORK >= 1 * If IJOB = 1, 2 or 4, LWORK >= 2*M*(N-M) * If IJOB = 3 or 5, LWORK >= 4*M*(N-M) * * If LWORK = -1, then a workspace query is assumed; the routine * only calculates the optimal size of the WORK array, returns * this value as the first entry of the WORK array, and no error * message related to LWORK is issued by XERBLA. * * IWORK (workspace/output) INTEGER array, dimension (MAX(1,LIWORK)) * IF IJOB = 0, IWORK is not referenced. Otherwise, * on exit, if INFO = 0, IWORK(1) returns the optimal LIWORK. * * LIWORK (input) INTEGER * The dimension of the array IWORK. LIWORK >= 1. * If IJOB = 1, 2 or 4, LIWORK >= N+2; * If IJOB = 3 or 5, LIWORK >= MAX(N+2, 2*M*(N-M)); * * If LIWORK = -1, then a workspace query is assumed; the * routine only calculates the optimal size of the IWORK array, * returns this value as the first entry of the IWORK array, and * no error message related to LIWORK is issued by XERBLA. * * INFO (output) INTEGER * =0: Successful exit. * <0: If INFO = -i, the i-th argument had an illegal value. * =1: Reordering of (A, B) failed because the transformed * matrix pair (A, B) would be too far from generalized * Schur form; the problem is very ill-conditioned. * (A, B) may have been partially reordered. * If requested, 0 is returned in DIF(*), PL and PR. * * * Further Details * =============== * * ZTGSEN first collects the selected eigenvalues by computing unitary * U and W that move them to the top left corner of (A, B). In other * words, the selected eigenvalues are the eigenvalues of (A11, B11) in * * U'*(A, B)*W = (A11 A12) (B11 B12) n1 * ( 0 A22),( 0 B22) n2 * n1 n2 n1 n2 * * where N = n1+n2 and U' means the conjugate transpose of U. The first * n1 columns of U and W span the specified pair of left and right * eigenspaces (deflating subspaces) of (A, B). * * If (A, B) has been obtained from the generalized real Schur * decomposition of a matrix pair (C, D) = Q*(A, B)*Z', then the * reordered generalized Schur form of (C, D) is given by * * (C, D) = (Q*U)*(U'*(A, B)*W)*(Z*W)', * * and the first n1 columns of Q*U and Z*W span the corresponding * deflating subspaces of (C, D) (Q and Z store Q*U and Z*W, resp.). * * Note that if the selected eigenvalue is sufficiently ill-conditioned, * then its value may differ significantly from its value before * reordering. * * The reciprocal condition numbers of the left and right eigenspaces * spanned by the first n1 columns of U and W (or Q*U and Z*W) may * be returned in DIF(1:2), corresponding to Difu and Difl, resp. * * The Difu and Difl are defined as: * * Difu[(A11, B11), (A22, B22)] = sigma-min( Zu ) * and * Difl[(A11, B11), (A22, B22)] = Difu[(A22, B22), (A11, B11)], * * where sigma-min(Zu) is the smallest singular value of the * (2*n1*n2)-by-(2*n1*n2) matrix * * Zu = [ kron(In2, A11) -kron(A22', In1) ] * [ kron(In2, B11) -kron(B22', In1) ]. * * Here, Inx is the identity matrix of size nx and A22' is the * transpose of A22. kron(X, Y) is the Kronecker product between * the matrices X and Y. * * When DIF(2) is small, small changes in (A, B) can cause large changes * in the deflating subspace. An approximate (asymptotic) bound on the * maximum angular error in the computed deflating subspaces is * * EPS * norm((A, B)) / DIF(2), * * where EPS is the machine precision. * * The reciprocal norm of the projectors on the left and right * eigenspaces associated with (A11, B11) may be returned in PL and PR. * They are computed as follows. First we compute L and R so that * P*(A, B)*Q is block diagonal, where * * P = ( I -L ) n1 Q = ( I R ) n1 * ( 0 I ) n2 and ( 0 I ) n2 * n1 n2 n1 n2 * * and (L, R) is the solution to the generalized Sylvester equation * * A11*R - L*A22 = -A12 * B11*R - L*B22 = -B12 * * Then PL = (F-norm(L)**2+1)**(-1/2) and PR = (F-norm(R)**2+1)**(-1/2). * An approximate (asymptotic) bound on the average absolute error of * the selected eigenvalues is * * EPS * norm((A, B)) / PL. * * There are also global error bounds which valid for perturbations up * to a certain restriction: A lower bound (x) on the smallest * F-norm(E,F) for which an eigenvalue of (A11, B11) may move and * coalesce with an eigenvalue of (A22, B22) under perturbation (E,F), * (i.e. (A + E, B + F), is * * x = min(Difu,Difl)/((1/(PL*PL)+1/(PR*PR))**(1/2)+2*max(1/PL,1/PR)). * * An approximate bound on x can be computed from DIF(1:2), PL and PR. * * If y = ( F-norm(E,F) / x) <= 1, the angles between the perturbed * (L', R') and unperturbed (L, R) left and right deflating subspaces * associated with the selected cluster in the (1,1)-blocks can be * bounded as * * max-angle(L, L') <= arctan( y * PL / (1 - y * (1 - PL * PL)**(1/2)) * max-angle(R, R') <= arctan( y * PR / (1 - y * (1 - PR * PR)**(1/2)) * * See LAPACK User's Guide section 4.11 or the following references * for more information. * * Note that if the default method for computing the Frobenius-norm- * based estimate DIF is not wanted (see ZLATDF), then the parameter * IDIFJB (see below) should be changed from 3 to 4 (routine ZLATDF * (IJOB = 2 will be used)). See ZTGSYL for more details. * * Based on contributions by * Bo Kagstrom and Peter Poromaa, Department of Computing Science, * Umea University, S-901 87 Umea, Sweden. * * References * ========== * * [1] B. Kagstrom; A Direct Method for Reordering Eigenvalues in the * Generalized Real Schur Form of a Regular Matrix Pair (A, B), in * M.S. Moonen et al (eds), Linear Algebra for Large Scale and * Real-Time Applications, Kluwer Academic Publ. 1993, pp 195-218. * * [2] B. Kagstrom and P. Poromaa; Computing Eigenspaces with Specified * Eigenvalues of a Regular Matrix Pair (A, B) and Condition * Estimation: Theory, Algorithms and Software, Report * UMINF - 94.04, Department of Computing Science, Umea University, * S-901 87 Umea, Sweden, 1994. Also as LAPACK Working Note 87. * To appear in Numerical Algorithms, 1996. * * [3] B. Kagstrom and P. Poromaa, LAPACK-Style Algorithms and Software * for Solving the Generalized Sylvester Equation and Estimating the * Separation between Regular Matrix Pairs, Report UMINF - 93.23, * Department of Computing Science, Umea University, S-901 87 Umea, * Sweden, December 1993, Revised April 1994, Also as LAPACK working * Note 75. To appear in ACM Trans. on Math. Software, Vol 22, No 1, * 1996. * * ===================================================================== * * .. Parameters .. INTEGER IDIFJB PARAMETER ( IDIFJB = 3 ) DOUBLE PRECISION ZERO, ONE PARAMETER ( ZERO = 0.0D+0, ONE = 1.0D+0 ) * .. * .. Local Scalars .. LOGICAL LQUERY, SWAP, WANTD, WANTD1, WANTD2, WANTP INTEGER I, IERR, IJB, K, KASE, KS, LIWMIN, LWMIN, MN2, $ N1, N2 DOUBLE PRECISION DSCALE, DSUM, RDSCAL, SAFMIN COMPLEX*16 TEMP1, TEMP2 * .. * .. Local Arrays .. INTEGER ISAVE( 3 ) * .. * .. External Subroutines .. EXTERNAL XERBLA, ZLACN2, ZLACPY, ZLASSQ, ZSCAL, ZTGEXC, $ ZTGSYL * .. * .. Intrinsic Functions .. INTRINSIC ABS, DCMPLX, DCONJG, MAX, SQRT * .. * .. External Functions .. DOUBLE PRECISION DLAMCH EXTERNAL DLAMCH * .. * .. Executable Statements .. * * Decode and test the input parameters * INFO = 0 LQUERY = ( LWORK.EQ.-1 .OR. LIWORK.EQ.-1 ) * IF( IJOB.LT.0 .OR. IJOB.GT.5 ) THEN INFO = -1 ELSE IF( N.LT.0 ) THEN INFO = -5 ELSE IF( LDA.LT.MAX( 1, N ) ) THEN INFO = -7 ELSE IF( LDB.LT.MAX( 1, N ) ) THEN INFO = -9 ELSE IF( LDQ.LT.1 .OR. ( WANTQ .AND. LDQ.LT.N ) ) THEN INFO = -13 ELSE IF( LDZ.LT.1 .OR. ( WANTZ .AND. LDZ.LT.N ) ) THEN INFO = -15 END IF * IF( INFO.NE.0 ) THEN CALL XERBLA( 'ZTGSEN', -INFO ) RETURN END IF * IERR = 0 * WANTP = IJOB.EQ.1 .OR. IJOB.GE.4 WANTD1 = IJOB.EQ.2 .OR. IJOB.EQ.4 WANTD2 = IJOB.EQ.3 .OR. IJOB.EQ.5 WANTD = WANTD1 .OR. WANTD2 * * Set M to the dimension of the specified pair of deflating * subspaces. * M = 0 DO 10 K = 1, N ALPHA( K ) = A( K, K ) BETA( K ) = B( K, K ) IF( K.LT.N ) THEN IF( SELECT( K ) ) $ M = M + 1 ELSE IF( SELECT( N ) ) $ M = M + 1 END IF 10 CONTINUE * IF( IJOB.EQ.1 .OR. IJOB.EQ.2 .OR. IJOB.EQ.4 ) THEN LWMIN = MAX( 1, 2*M*( N-M ) ) LIWMIN = MAX( 1, N+2 ) ELSE IF( IJOB.EQ.3 .OR. IJOB.EQ.5 ) THEN LWMIN = MAX( 1, 4*M*( N-M ) ) LIWMIN = MAX( 1, 2*M*( N-M ), N+2 ) ELSE LWMIN = 1 LIWMIN = 1 END IF * WORK( 1 ) = LWMIN IWORK( 1 ) = LIWMIN * IF( LWORK.LT.LWMIN .AND. .NOT.LQUERY ) THEN INFO = -21 ELSE IF( LIWORK.LT.LIWMIN .AND. .NOT.LQUERY ) THEN INFO = -23 END IF * IF( INFO.NE.0 ) THEN CALL XERBLA( 'ZTGSEN', -INFO ) RETURN ELSE IF( LQUERY ) THEN RETURN END IF * * Quick return if possible. * IF( M.EQ.N .OR. M.EQ.0 ) THEN IF( WANTP ) THEN PL = ONE PR = ONE END IF IF( WANTD ) THEN DSCALE = ZERO DSUM = ONE DO 20 I = 1, N CALL ZLASSQ( N, A( 1, I ), 1, DSCALE, DSUM ) CALL ZLASSQ( N, B( 1, I ), 1, DSCALE, DSUM ) 20 CONTINUE DIF( 1 ) = DSCALE*SQRT( DSUM ) DIF( 2 ) = DIF( 1 ) END IF GO TO 70 END IF * * Get machine constant * SAFMIN = DLAMCH( 'S' ) * * Collect the selected blocks at the top-left corner of (A, B). * KS = 0 DO 30 K = 1, N SWAP = SELECT( K ) IF( SWAP ) THEN KS = KS + 1 * * Swap the K-th block to position KS. Compute unitary Q * and Z that will swap adjacent diagonal blocks in (A, B). * IF( K.NE.KS ) $ CALL ZTGEXC( WANTQ, WANTZ, N, A, LDA, B, LDB, Q, LDQ, Z, $ LDZ, K, KS, IERR ) * IF( IERR.GT.0 ) THEN * * Swap is rejected: exit. * INFO = 1 IF( WANTP ) THEN PL = ZERO PR = ZERO END IF IF( WANTD ) THEN DIF( 1 ) = ZERO DIF( 2 ) = ZERO END IF GO TO 70 END IF END IF 30 CONTINUE IF( WANTP ) THEN * * Solve generalized Sylvester equation for R and L: * A11 * R - L * A22 = A12 * B11 * R - L * B22 = B12 * N1 = M N2 = N - M I = N1 + 1 CALL ZLACPY( 'Full', N1, N2, A( 1, I ), LDA, WORK, N1 ) CALL ZLACPY( 'Full', N1, N2, B( 1, I ), LDB, WORK( N1*N2+1 ), $ N1 ) IJB = 0 CALL ZTGSYL( 'N', IJB, N1, N2, A, LDA, A( I, I ), LDA, WORK, $ N1, B, LDB, B( I, I ), LDB, WORK( N1*N2+1 ), N1, $ DSCALE, DIF( 1 ), WORK( N1*N2*2+1 ), $ LWORK-2*N1*N2, IWORK, IERR ) * * Estimate the reciprocal of norms of "projections" onto * left and right eigenspaces * RDSCAL = ZERO DSUM = ONE CALL ZLASSQ( N1*N2, WORK, 1, RDSCAL, DSUM ) PL = RDSCAL*SQRT( DSUM ) IF( PL.EQ.ZERO ) THEN PL = ONE ELSE PL = DSCALE / ( SQRT( DSCALE*DSCALE / PL+PL )*SQRT( PL ) ) END IF RDSCAL = ZERO DSUM = ONE CALL ZLASSQ( N1*N2, WORK( N1*N2+1 ), 1, RDSCAL, DSUM ) PR = RDSCAL*SQRT( DSUM ) IF( PR.EQ.ZERO ) THEN PR = ONE ELSE PR = DSCALE / ( SQRT( DSCALE*DSCALE / PR+PR )*SQRT( PR ) ) END IF END IF IF( WANTD ) THEN * * Compute estimates Difu and Difl. * IF( WANTD1 ) THEN N1 = M N2 = N - M I = N1 + 1 IJB = IDIFJB * * Frobenius norm-based Difu estimate. * CALL ZTGSYL( 'N', IJB, N1, N2, A, LDA, A( I, I ), LDA, WORK, $ N1, B, LDB, B( I, I ), LDB, WORK( N1*N2+1 ), $ N1, DSCALE, DIF( 1 ), WORK( N1*N2*2+1 ), $ LWORK-2*N1*N2, IWORK, IERR ) * * Frobenius norm-based Difl estimate. * CALL ZTGSYL( 'N', IJB, N2, N1, A( I, I ), LDA, A, LDA, WORK, $ N2, B( I, I ), LDB, B, LDB, WORK( N1*N2+1 ), $ N2, DSCALE, DIF( 2 ), WORK( N1*N2*2+1 ), $ LWORK-2*N1*N2, IWORK, IERR ) ELSE * * Compute 1-norm-based estimates of Difu and Difl using * reversed communication with ZLACN2. In each step a * generalized Sylvester equation or a transposed variant * is solved. * KASE = 0 N1 = M N2 = N - M I = N1 + 1 IJB = 0 MN2 = 2*N1*N2 * * 1-norm-based estimate of Difu. * 40 CONTINUE CALL ZLACN2( MN2, WORK( MN2+1 ), WORK, DIF( 1 ), KASE, $ ISAVE ) IF( KASE.NE.0 ) THEN IF( KASE.EQ.1 ) THEN * * Solve generalized Sylvester equation * CALL ZTGSYL( 'N', IJB, N1, N2, A, LDA, A( I, I ), LDA, $ WORK, N1, B, LDB, B( I, I ), LDB, $ WORK( N1*N2+1 ), N1, DSCALE, DIF( 1 ), $ WORK( N1*N2*2+1 ), LWORK-2*N1*N2, IWORK, $ IERR ) ELSE * * Solve the transposed variant. * CALL ZTGSYL( 'C', IJB, N1, N2, A, LDA, A( I, I ), LDA, $ WORK, N1, B, LDB, B( I, I ), LDB, $ WORK( N1*N2+1 ), N1, DSCALE, DIF( 1 ), $ WORK( N1*N2*2+1 ), LWORK-2*N1*N2, IWORK, $ IERR ) END IF GO TO 40 END IF DIF( 1 ) = DSCALE / DIF( 1 ) * * 1-norm-based estimate of Difl. * 50 CONTINUE CALL ZLACN2( MN2, WORK( MN2+1 ), WORK, DIF( 2 ), KASE, $ ISAVE ) IF( KASE.NE.0 ) THEN IF( KASE.EQ.1 ) THEN * * Solve generalized Sylvester equation * CALL ZTGSYL( 'N', IJB, N2, N1, A( I, I ), LDA, A, LDA, $ WORK, N2, B( I, I ), LDB, B, LDB, $ WORK( N1*N2+1 ), N2, DSCALE, DIF( 2 ), $ WORK( N1*N2*2+1 ), LWORK-2*N1*N2, IWORK, $ IERR ) ELSE * * Solve the transposed variant. * CALL ZTGSYL( 'C', IJB, N2, N1, A( I, I ), LDA, A, LDA, $ WORK, N2, B, LDB, B( I, I ), LDB, $ WORK( N1*N2+1 ), N2, DSCALE, DIF( 2 ), $ WORK( N1*N2*2+1 ), LWORK-2*N1*N2, IWORK, $ IERR ) END IF GO TO 50 END IF DIF( 2 ) = DSCALE / DIF( 2 ) END IF END IF * * If B(K,K) is complex, make it real and positive (normalization * of the generalized Schur form) and Store the generalized * eigenvalues of reordered pair (A, B) * DO 60 K = 1, N DSCALE = ABS( B( K, K ) ) IF( DSCALE.GT.SAFMIN ) THEN TEMP1 = DCONJG( B( K, K ) / DSCALE ) TEMP2 = B( K, K ) / DSCALE B( K, K ) = DSCALE CALL ZSCAL( N-K, TEMP1, B( K, K+1 ), LDB ) CALL ZSCAL( N-K+1, TEMP1, A( K, K ), LDA ) IF( WANTQ ) $ CALL ZSCAL( N, TEMP2, Q( 1, K ), 1 ) ELSE B( K, K ) = DCMPLX( ZERO, ZERO ) END IF * ALPHA( K ) = A( K, K ) BETA( K ) = B( K, K ) * 60 CONTINUE * 70 CONTINUE * WORK( 1 ) = LWMIN IWORK( 1 ) = LIWMIN * RETURN * * End of ZTGSEN * END


Module provides access to a Plugin to combine ASR output.
Import functions:
from typing import Any, List
from dialogy.preprocess.text.normalize_utterance import normalize
from dialogy.types.plugin import (
GetWorkflowUtteranceFn,
PluginFn,
UpdateWorkflowStringFn,
)
from dialogy.workflow import Workflow
def merge_asr_output(utterances: Any) -> str:
Join ASR output to single string.
This function provides a merging strategy for n-best ASR transcripts by joining each transcript, such that:
The key “transcript” is expected in the ASR output, the value of which would be operated on by this function.
Example:
input = [
{"transcript": "This is a sentence"},
{"transcript": "That is a sentence"}
]
"<s> This is a sentence </s> <s> That is a sentence </s>"
Args:
List[Utterance]
): ASR transcriptionsRaises:
"transcript"
within alternatives.Returns:
try:
flat_representation: List[str] = normalize(utterances)
return "<s> " + " </s> <s> ".join(flat_representation) + " </s>"
except TypeError as type_error:
raise TypeError("`transcript` is expected in the ASR output.") from type_error
def merge_asr_output_plugin(
access: GetWorkflowUtteranceFn, mutate: UpdateWorkflowStringFn
) -> PluginFn:
Create a closure for single text representation for ASR output.
This Plugin provides a merging strategy for n-best ASR transcripts.
Args: access (GetWorkflowUtteranceFn): Function to access workflow elements. mutate (UpdateWorkflowStringFn): Function to modify workflow elements.
Returns: PluginFn: Closure function returned
def inner(workflow: Workflow) -> None:
merged_string = merge_asr_output(access(workflow))
mutate(workflow, merged_string)
return inner


Please drag the window around to watch the chart resize.
This example illustrates the case which the issue
#2467
reports.


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https://github.com/pdfcpu/pdfcpu under an
Apache 2.0 license.
The example PDF has been published under a
Creative Commons (CC BY-NC-SA 3.0) license
at https://wisc.pb.unizin.org/portuguese/.